Context Engineering Has Replaced Prompt Engineering

The industry has shifted from crafting clever instructions ("prompt engineering") to architecting what information the model operates on ("context engineering"). Think of LLMs as a CPU and the context window as RAM — your job is the OS, loading the right code and data for each task. 65% of developers now cite missing or stale context as the leading cause of poor AI code quality, not model capability or prompt phrasing. LangChain's four context strategies (write, select/RAG, compress, isolate) are the practical framework to know.

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Sources: Medium: Context Engineering Has Eaten Prompt Engineering · Neo4j Blog · Firecrawl: Context Engineering